```json { "action": "tool_call", "reasoning": "The dataset card shows a temporal axis: 'Date reported' in the raw table, spanning 1/1/23 to 9/7/23. I need to query the temporal distribution of funding deals to identify spikes, dips, or breaks. I'll aggregate by date to see the pattern of deal activity over time.", "tool": "query_sql", "args": { "sql": "SELECT \"Date reported\", COUNT(*) as deal_count, SUM(CAST(REPLACE(REPLACE(Amount, '$', ''), 'M', '') AS DECIMAL)) as total_amount_m FROM raw.\"Largest US Venture Funding Deals Of 2023\" GROUP BY \"Date reported\" ORDER BY \"Date reported\"", "purpose": "Get the temporal distribution of venture funding deals by date to identify spikes, dips, or breaks in activity", "source": "raw" } } ```